Alternatives and similar repositories for auton-survival

Users that are interested in auton-survival are comparing it to the libraries listed below

• havakv / pycox
  Survival analysis with PyTorch
  ☆952Updated last year
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆95Updated 2 years ago
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆368Updated last year
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆226Updated 11 months ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆64Updated 2 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆194Updated 2 years ago
• autonlab / DeepSurvivalMachines
  ☆31Updated 4 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆64Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆283Updated last week
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆88Updated 5 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆178Updated last week
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆676Updated 5 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆280Updated 2 years ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆402Updated 3 months ago
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆30Updated 2 months ago
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆135Updated 3 years ago
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆171Updated 10 months ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆94Updated last year
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 3 years ago
• hrossman / pymsm
  ☆54Updated 3 years ago
• imatge-upc / SurvLIMEpy
  Local interpretability for survival models
  ☆24Updated last year
• vanderschaarlab / temporai
  TemporAI: ML-centric Toolkit for Medical Time Series
  ☆127Updated 2 years ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆45Updated last year
• lasso-net / lassonet
  Feature selection in neural networks
  ☆249Updated last year
• LeoGrin / tabular-benchmark
  ☆503Updated last year
• Califrais / flash
  A generalized joint model for high-dimensional multivariate longitudinal data and censored durations
  ☆13Updated last year
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆172Updated last year
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆154Updated 5 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆150Updated 3 years ago